3D Human Mesh Recovery.
3D representations have attracted a lot of attention in the computer vision community [1]}, [2]}.
The 3D human body can be represented by point clouds [3]}, voxels [4]}, parameterized blend shapes  [5]}, etc.
Among them, the Skinned Multi-Person Linear (SMPL) model [6]}
is a skinned vertex-based model that can accurately represent a wide variety of body shapes in natural human poses.
With the SMPL model, an arbitrary 3D human body can be represented by a linear combination of a group of shape, pose, scale, and viewpoint parameters.
Based on the SMPL model, a series of 3D human mesh recovery approaches are developed to estimate accurate 3D shapes, poses, and viewpoints of human bodies from natural images [7]}, [8]}, [9]}, [10]}.
These methods provide us an opportunity to obtain 3D human meshes from in-the-wild videos for 3D mesh-based gait recognition.
